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Prediction of the impact of air pollution on rates of hospitalization for asthma in Shiraz based on air pollution indices in 2007-2012

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DOI: 10.4236/ojap.2016.52004    2,093 Downloads   3,029 Views   Citations

ABSTRACT

Objectives: This study was designed to determine the effects of air pollutants on emergency admissions for asthma, and to forecast the disease burden in Shiraz, Iran. Methods: The average daily concentrations of fine particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), carbon monoxide (CO) and ozone (O3) were calculated from data reported by two air quality monitoring stations in Shiraz from the beginning of 2007 to mid-2012. Results: The numbers of patients admitted with asthma attack during this period were collected from four main university-affiliated hospitals. Admissions correlated strongly with the levels of PM10, SO2, CO and O3 during warm seasons (P<0.001), and with NO2 level during cold seasons (P<0.001). We forecast increasing trends in air pollutants and patient admissions in the year 2015. Conclusion: Our findings are further evidence of the effects of air pollutants on asthma exacerbations.

Received 1 March 2016; accepted 4 June 2016; published 7 June 2016

1. Introduction

Asthma is a chronic respiratory disease that worsens with exposure to allergens, viral respiratory infections and air pollutants [1] - [3] . Numerous epidemiologic studies emphasis that air pollutants are important factors in exacerbations and hospital admissions for asthma [4] - [6] . Outdoor air contaminants consist of primary pollutants emitted directly into the atmosphere, such as sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO) and particulate matter (PM), along with secondary pollutants that form in the air as a result of chemical reactions with other pollutants and gases such as ozone (O3), nitrogen oxide species and some particles [7] . Air pollutants can be produced from point or mobile sources. Point sources emit pollutants into the air from a fixed location such as power plants, chemical plants and other industrial facilities. Mobile sources include cars, trucks and vehicles [8] .

Shiraz , the capital of Fars province, has a total area 240 km2 and a population of around 1.5 million (in 2012), making it the fifth largest city in Iran . It is located in the Zagros Mountain range in southwestern Iran at an elevation of 1486 meters above sea level. The city has a temperate climate with four distinct seasons and an average annual rainfall of about 300 mm . Industrial activities in the city include an oil refinery, a thermal power plant and a cement factory. In addition to air pollution, this city is influenced by meteorological phenomena characteristic of the Middle East, such as dust storms originating from Iraq in warm seasons.

Although air pollution is an important public health problem in large cities in Iran , few studies have centered on the effects of air pollutants on asthma admission rates. The purposes of this study were to investigate the association between air pollution and admission rates of patients with asthma attacks from 2007 to 2012, and to predictthe future asthma disease burden in Shiraz .

2. Methods

2.1. Data Collection

To retrieve the medical records of patients admitted with asthma attack, we reviewed the admissions lists of four main university-affiliated hospitals (Namazee, Faghihi, Dastghaib and Aliasghar Hospital ) in Shiraz from the beginning of 2007 to mid-2012. In addition to demographic information, the date of admission and duration of the hospital stay were extracted from their files.

Data on the daily levels of PM10, SO2, NO2, CO and O3 were obtained from two Environmental Protection Department automatic air quality monitoring stations located near the city center and in the northern part of Shiraz . The period from April to September was considered to comprise the warm seasons, and the period October to March was considered the cold seasons.

2.2. Statistical Analysis

The average daily concentration of each pollutant was calculated from data reported by the two monitoring stations. The associations between daily, monthly, seasonal and annual mean levels of PM10, SO2, NO2, CO and O3 and the number of patients admitted due to asthma attack were determined by calculating Pearson correlation coefficients for each interval during the 5.5-year study period. All statistical analyses were done with SPSS version 19.0 (SPSS Inc., Chicago, IL , USA ), and two-tailed P values less than 0.05 were considered statistically significant. An autoregressive integrated moving average (ARIMA) model was used to forecast monthly admission rates to 2015 of patients with asthma in relation to each of the five air pollutants studied here.

3. Results and Discussion

During the 5.5-year study period, 1939 patients (931 males and 1008 females, age range 2 to 106 years, mean age 44.22 ± 26.16 years) were admitted for asthma exacerbation to one of the four participating hospitals. About one fifth of the patients (416, 21.5%) were younger than 18 years, and 457 (23.5%) were older than 65 years. The number of daily admissions varied from zero to 13. The patients were hospitalized for periods ranging from 1 day to 1 month (average 4.7 days). Table 1 shows the annual mean concentrations of five major air pollutants and the number of patients admitted for asthma attack. Monthly variations in air pollutant levels and the numbers of patients admitted are shown in Figure 1. The monthly mean concentrations of SO2, NO2 and O3 correlated with admission rates during the study period (P < 0.001). The levels of PM10, SO2, CO and O3 correlated strongly with admissions during the warm seasons (P < 0.001), whereas NO2 levels correlated with patient admissions during the cold seasons (P < 0.001).

There is growing epidemiological evidence of associations between air pollution and respiratory disorders in

Table 1. Annual concentrations of five major air pollutants and their correlations with daily admissions of patients for asthma attack.

PM10, particulate matter ≤10 µm in diameter; SO2, sulfur dioxide; NO2, nitrogen dioxide; CO, carbon monoxide; O3, ozone. *, significant correlation (2-tailed P-value < 0.05).

developing countries [9] . We found positive associations between outdoor levels of NO2, SO2 and O3 and monthly admission rates of patients with asthma attacks in Shiraz.

The possible effects of NO2 in the air include increased sensitivity to respiratory viral infections and enhanced reactions to allergens (e.g., house dust mites), which exacerbates asthma and reduces lung function in children [10] - [12] . The results of our findings on the adverse effects of NO2 for patients in Shiraz are consistent with

Figure 1. Correlation of monthly mean air pollutant levels and number of hospital admissions of patients for asthma attack.

other studies in Iran [3] [13] .

Ozone is an air pollutant related to sunlight. Because of the warm climate in our area, O3 concentration is high. Prolonged lung injury, oxidative stress, macrophage accumulation and extensive abnormal lung function have been reported in mice that inhaled O3 [14] . The results of a similar study in humans also indicated airway disruption and susceptibility to influenza infections [15] . In agreement with most epidemiologic studies especially from North America and Europe, exposure to O3 exacerbates asthma [16] [17] .

Coal is still used as the main source of energy in some parts of Asia. The burning of coal emits a considerable amount of SO2 which increases bronchoconstriction in patients with asthma. We found a positive relationship between SO2 level and hospital admissions for asthma attack, which is in consistent with other reports from Iran and Turkey [3] [13] [18] .

Among air pollutants, particulate matter has the greatest effects on human health [19] . However, in contrast to the results of similar studies in Tabriz and Tehran [19] [20] , we found no significant association between PM10 levels and monthly admissions for asthma. The deposition of PM in the respiratory tract depends on the size of the particles as a strong correlation has been shown between PM2.5 and asthma morbidity [21] .

Carbon monoxide, a marker of vehicle traffic, is a product of incomplete combustion of carbon-containing fuel. During the period covered by our study there were no reports of CO levels ≥ 9 ppm, the level considered toxic according to National Ambient Air Quality Standards (NAAQS) [22] . Our data showed no association between monthly concentrations of CO and exacerbations of asthma.

An analysis of the relationship between seasonal variations in asthma incidence and air pollutants in Taiwan showed strong associations with PM10, O3 and SO2 in children [23] . Our findings showed that the effect of PM10, SO2, CO and O3 on the rates of hospitalization of patients with asthma was higher during warm seasons. This may be a result of people spending more time outdoors and leaving windows open during the warm seasons, which can increase the exposure to O3 and other pollutants. We speculate that dust storms from neighboring countries also exacerbate asthma during warm seasons in our region.

Admission rates for patients with asthma are usually higher during cold seasons, which may be explained by the exacerbations of asthma after viral infections [2] . According to our results, only NO2 levels showed a greater association with the rates of admission of patients with asthma during the cold seasons than the warm seasons, a finding in line with the results reported by Castellsague et al. [24] .

The stationary R-squared value and goodness-of-fit for the ARIMA model to predict monthly admissions were 0.523 and 0.62, respectively. Based on our data, we predicted an increasing trend in monthly mean levels of air pollutants and numbers of patient admissions to 2015 (Figure 2).

Many studies suggest that the prevalence of asthma has reached a plateau or may be declining in developed countries, whereas it continues to increase in Asian countries. A factor that may be related to these opposing trends is that economic development in Asia is supported by the increased use of fossil fuels?which contribute to air pollution?as energy sources. On the basis of our data, we predicate that air pollution and asthma admission rates will be a major problem in 2015 in our region.

In this study we did not measure temperature, humidity and indoor allergens, all of which, along with air pollution, can affect asthma exacerbations. We recorded admission rates of patients with asthma at university hospitals only, and did not obtain data from private clinics and hospitals that also manage patients with asthma attacks in our region. Generally, different air pollutants interact with each other and an exact quantitation of each pollutant is rarely possible. The effect of air pollutants on asthma is likely to be a chronic process, and delayed

Figure 2. Forecast through 2015 of the trend in hospital admissions for asthma based on monthly mean levels of air pollutants.

outcomes may appear long after exposure. Another potential limitation of this study is that we did not obtain follow-up data for our sample of patients later than mid-2012. We were not able to measure the concentration of PM2.5, and cannot speculate on the possible relationship between the levels of particles smaller than PM10 and hospital admissions for asthma in our setting.

4. Conclusion

Our results confirm the findings of previous studies of the effect of air pollution on asthma exacerbation. Further parallel studies are needed to evaluate the cumulative effects of meteorological factors, indoor allergen concentrations and outdoor air pollutants on asthma attack and admission rates. Because the prevention of asthma exacerbations is strongly preferable to emergency management, and because air pollution is a contributing factor, environmental protection measures aimed at controlling air pollution are advisable to prevent hospital admissions due to asthma attacks.

Acknowledgements

This work was supported by Shiraz University of Medical sciences (grant number 90-01-35-3936). We thank the Environmental Protection Department of Shiraz Municipality for their cooperation in air pollutant data collection. Our thanks go to K. Shashok (Author AID in the Eastern Mediterranean) for improving the use of English in the manuscript.

NOTES

*Corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Moghtaderi, M. , Zarei, M. , Farjadian, S. and Shamsizadeh, S. (2016) Prediction of the impact of air pollution on rates of hospitalization for asthma in Shiraz based on air pollution indices in 2007-2012. Open Journal of Air Pollution, 5, 37-43. doi: 10.4236/ojap.2016.52004.

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